Snapchat | |||||||
---|---|---|---|---|---|---|---|
Algorithm | Metrics | Imbalance | Over-sampling | Under-sampling | |||
70% | Fold 10 | 70% | Fold 10 | 70% | Fold 10 | ||
MLP | Accuracy | 90.59% | 91.19% | 100% | 99.61% | 94.12% | 83.93% |
MAE | 1.10 | 0.10 | 0.01 | 0.01 | 0.18 | 0.21 | |
Precision | 0.92 | 0.90 | 1.00 | 1.00 | 0.95 | 0.84 | |
Recall | 0.91 | 0.91 | 1.00 | 1.00 | 0.94 | 0.84 | |
F-Measure | 0.88 | 0.89 | 1.00 | 1.00 | 0.94 | 0.84 | |
SVM | Accuracy | 90.59% | 91.20% | 100% | 99.41% | 82.35% | 85.71% |
MAE | 0.09 | 0.09 | 0.00 | 0.01 | 0.18 | 0.16 | |
Precision | 0.91 | 0.90 | 1.00 | 0.99 | 0.87 | 0.84 | |
Recall | 0.91 | 0.91 | 1.00 | 0.99 | 0.82 | 0.84 | |
F-Measure | 0.89 | 0.89 | 1.00 | 0.99 | 0.82 | 0.84 | |
RF | Accuracy | 88.24% | 90.85% | 100% | 100% | 82.35% | 82.14% |
MAE | 0.12 | 0.12 | 0.04 | 0.03 | 0.39 | 0.34 | |
Precision | 0.88 | 0.92 | 1.00 | 1.00 | 0.87 | 0.82 | |
Recall | 1.0 | 0.91 | 1.00 | 1.00 | 0.82 | 0.82 | |
F-Measure | 0.94 | 0.87 | 1.00 | 1.00 | 0.82 | 0.82 | |
NB | Accuracy | 89.41% | 92.61% | 97.40% | 98.05% | 82.35% | 75% |
MAE | 0.10 | 0.09 | 0.05 | 0.05 | 0.25 | 0.25 | |
Precision | 0.91 | 0.93 | 0.98 | 0.98 | 0.83 | 0.76 | |
Recall | 0.89 | 0.93 | 0.97 | 0.98 | 0.82 | 0.75 | |
F-Measure | 0.85 | 0.91 | 0.97 | 0.98 | 0.82 | 0.75 | |
Voting | Accuracy | 90.59% | 91.55% | 100% | 99.41% | 85.71% | 82.35% |
MAE | 0.10 | 0.10 | 0.028 | 0.03 | 0.25 | 0.23 | |
Precision | 0.92 | 0.91 | 1.00 | 0.99 | 0.87 | 0.86 | |
Recall | 0.91 | 0.92 | 1.00 | 0.99 | 0.82 | 0.86 | |
F-Measure | 0.88 | 0.89 | 1.00 | 0.99 | 0.82 | 0.86 |